Wednesday, August 26, 2020

Financial management Term Paper Example | Topics and Well Written Essays - 2250 words

Monetary administration - Term Paper Example By worldwide measures, this without a doubt was an exceptional development. The monetary records of business banks displayed fast increment during the whole eighties decade however began giving indications of easing back down in the principal half of nineties as premium contrasts would in general tighten and banks began relying increasingly more upon charges as their essential wellspring of pay. There was another indication of consistent increment in the size of the worldwide monetary superstructure and that was a stamped increment in the volume of protections remarkable (predominantly as securities and currency advertise papers) in the absolute quantum of budgetary cases while there was a practically equal decrease in stores and credits. Nonetheless, what all investigators and monetary specialists favored at that point to choose not to see was the expanded phantom of huge measures of awful obligations. Things were additionally convoluted by the way that while family unit division ac counting reports began showing an expansion in the two resources and liabilities, there was a stamped decrease in stores inside gross family resources and a practically similar increment in net money related riches as protections. (Blommestein 1996) This was perhaps an immediate branch of the noteworthy imaginativeness that was seen in the budgetary markets during this decade when one was overpowered by the unexpected spray in subsidiaries markets and appearance of business papers in a major manner. For all intents and purposes all types of guidelines and limitations that were viewed as fundamental for keeping up solidness in universal money related markets were given a pass by as practically all OECD nations canceled trade controls. The financial area additionally disposed of practically all structures loan fee controls and powers over credit development. The capitals advertises additionally saw expulsion of powers over expenses and commissions. In certain nations, the current

Saturday, August 22, 2020

Cover Letter--Investment Analyst-- DT Capital Advisory Essay

Introductory Letter- - Investment Analyst- - DT Capital Advisory - Essay Example Single man of Commerce program has been tremendously useful for my expert profession. This program has concentrated on various regions and parts of business, for example, money, bookkeeping, the board, human asset the board, financial matters and other imperative regions of business examines. This degree has unquestionably improved my insight identified with business and overseeing business. I am doing twofold specialization in Finance and Economics and Management. Accordingly by having twofold specialization, I will have information identified with Finance, Investment, Economics, and Financial undertakings and other fund related subjects and simultaneously I will examine courses, for example, the board, human asset the board, and others. As I have just worked in various organizations, in this manner, these encounters have helped me in thinking about reasonableness of various business and account ideas. I was filling in as a Credit colleague at China Minsheng Banking Corporation. This activity permitted me to do to explore and assess the profile of clients and afterward suggest their credit limit. I have additionally worked and given credit examination reports of 6 undertakings to the Risk Management Executive Committee inside requesting courses of events. I have additionally worked at Guangdong Zhongnuo Wealth Capital Management Corporation as Management Associate. At this association, I have worked with various divisions of the organization including human asset, capital market, and advertising, and this helped me to find out about various viewpoints and spaces of business. On account of my attributes and execution, I was allocated the duties of group pioneer for directing concentrated publicizing effort. Every one of these encounters have helped me in have a superior comprehension of how organizations work and the significance of various divisions at the working environment. Later on, I need to be a budgetary expert or need to work in a business house where I

Wednesday, August 19, 2020

Big Data

Big Data Big Data. It’s a term on the lips of seemingly every industry pundit and in the headlines of every social media feed. Far from the latest trend, Big Data is a new reality for firms in every industry (and even non-profit organizations and government agencies), fundamentally transforming the way they do business.Forward thinking firms have integrated Big Data in strategic planning and invested in the work force and financial resources necessary to leverage it in marketing, sales, manufacturing, supply chain management.Business college and graduate degree programs increasingly emphasize data analysis; and firms are eagerly snapping up talent. But what, exactly, is it and why, if you are an entrepreneur or executive, should it be on your mind? © Shutterstock.com | T. L. FurrerIn this article we will 1) define exactly what is meant by the term Big Data; 2) explore the origins the uses of Big Data, 4) discuss the benefits of using Big Data; 5) explore the sources of Big Data; 6) provide an overview of the management of Big Data; and 7) cover a case study of a business using Big Data to achieve a strategic business objective.WHAT IS BIG DATA?Big Data is a term that refers to the data gathered by businesses and organizations, stored digitally. It is data that is too big for standard database processing systems, and varies greatly in type. It can include anything from social media mentions to keywords and hashtags to manufacturing equipment logs to digital images. In short, it is any data that is, and that can be, aggregated and digitized for commercial use. It not only includes data captured and aggregated online, but also data from internal processes and external events, as well as acquired from third parties. Technology re search firm IDC estimates that Big Data grows at a rate of 50 percent a year. Big Data is often described in terms of the three Vs: volume, velocity, and variety. VolumeVolume, in sum, refers to the size and scale of the data at hand, though conversations about volume usually concern database storage and access solutions. Modeling data with more variables rather than fewer should lead to more accurate and complete insights. However, one must determine the best storage solutions that allow for security, ease of  maintenance, standardization, and easy access by end users. Think about it: how exactly would you develop implement a system with potentially 200 different inputted file types and allow users to run queries and conduct analyses? Luckily, there are many software solutions on the market that have answered this question for you, such as Hadoop and Greenplum. However, every solution has its own limitations, and ultimately, a determination must be made, based on availability of IT and financial resources, how data storage and access will be handled.VelocityVelocity refers to the speed with which data is automatically fed back into the database. Depending on the number of data sources and the speed with which new data is generated/aggregated and fed back into the firms database, velocity necessitates some planning and investment. High frequency trading is an example of the use of sophisticated high velocity Big Data management tools: these trading systems take data from capital markets in increments of a fraction of a second. Proprietary software automatically mathematically models this data to process, execute, and settle trades, just as quickly. Institutional investors can trade millions of times a day, in hundreds or thousands of positions representing hundreds of millions or even billions of dollars.VarietyThe third V is variety and represents not only different underlying data types, but also differing delivery types. Different browsers and databases, wi th differing packaging protocols can easily complicate your ability to standardize and analyze your data. When you standardize it, invariably some of the data must be discarded. However, Big Data, by definition is messy, coming from a variety of sources at different times, and in different formats. We prefer data to be clean and tidy, but humans are by nature not; otherwise complex mathematical models would not be needed to predict behavior. While, inevitably, data must be reduced to numbers, according to some relevant rubric(s) for modeling, in case those numbers do not tell the whole story, best practices call for all data to be preserved.Fortunately, advances in machine learning have increased the complexity of data a computer can process and the speed at which it can do so. Further, the more Big Data is parsed, the more people can refine the algorithms that power machine learning. In other words, the more Big Data grows over time, the better machines can process it, without the need for discarding non-standard elements.In addition to the traditional three Vs, some industry pundits have added a fourth V, veracity.VeracityData managers and scientists must also be concerned with the veracity of the data they capture. The inability to capture correct data, or quickly correct or purge incorrect data, can seriously affect market research, financial forecasting, optimization efforts, and other attempts to harness Big Data.But beyond data that is flat out incorrect, through inaccurate aggregating methods, data corruption, or human error, veracity refers to a data scientist’s ability to use the data to make predictions with a particular degree of certainty. In statistics, modeling is done within certain confidence levels, that taken into account estimates of how the effects of variation (uncertainty) on the model. If the variables in a particular model have considerable variation, then the amount of uncertainty will increase. Data scientists must take great pains to minimize the uncertainty in their models (through careful gathering of data, selection of datasets, and exploration of relevant variables) to ensure that the actionable insights they present to their boss’ are in fact, reflective of reality. What complicates this further is the real-time nature of the data: the velocity of Big Data. © Flickr | Olivier Carré-DelisleTHE ORIGINS USES OF BIG DATABig Data is a phenomenon whose roots are firmly grounded in the Digital Era. Firms have not only built online tools to capture significant amounts of consumer information, they have begun to incorporate digital technologies in everything from managing internal timekeeping to optimizing manufacturing to refining supply chain management.Big Data is most often used to predict patterns in consumer behavior and/or gain product insights. The ability to aggregate data from a variety of sources in real-time, and use sophisticated analytical tools like SAS (an industry-standard statistical software package), to standardize and analyze data has greatly reduced firm costs and capabilities to do market research, and account for continuous change in the market space.These new capacities have allowed for mass customization of traditional products and even allowed for the creation of new products, services, and revenue-driving features. For example, the recommendation engine, a software application that uses predictive analytics (analysis of key data that predicts a users behavior and preferences) has allowed Amazon and Netflix to suggest products they are likely to purchase with a considerable degree of accuracy, allowing them to upsell effectively.THE BENEFITS OF USING BIG DATABy collecting and aggregating Big Data, data scientists can use it to create mathematical models to refine offline and online marketing strategies (including targeting and pricing); obtain product insights, optimize their supply chain management and distribution strategies; create financial forecasts; and more. Implementing insights gained from Big Data can be a source of competitive advantage.Big Data, Small World: Kirk Borne at TEDxGeorgeMasonU SOURCES OF BIG DATAReams of Big Data are aggregated on the back-end of websites and mobile apps, and are available for firms to use. Big Data is also captured digitally through the proliferation a nd integration of digital technologies in traditionally non-digital processes. For example, manufacturers may add digital sensors to assembly arms, which measure how effective work is performed at varying speeds, with minimal defects and minimal increases in wear and tear. This can help them determine the right speed for optimal production. Big Data can include publicly available information. For example, Google Maps allows web developers to develop APIs that can aggregate and manipulate their satellite data in real-time; this could be a source of Big Data. Big Data can include digital photos, video, and music created by individuals and published online; weather reports; online purchases; Tweets; email lists acquired from direct marketing list brokers; mileage logs from a firm’s delivery trucks, and more.MANAGING BIG DATAManaging Big Data is a difficult task, even for the most forward thinking and cash-rich firm. For one, data is always changing. That demographic data you scrapped from one of many customer Facebook pages can change with a keystroke. Ensuring the integrity of the data you capture, both through continuous data mining and processes design to minimize data-related human error are critical. The determination of what data to capture is also key. Choosing to capture everything creates data storage issues, and can contribute to faulty decision-making.AnalysisData managers must be able to pare volumes of data down into actionable insights. Decision makers at the executive level do not have time to be guided through the finer points of how a data scientist has arrived at their conclusion. They need to know the story the data is telling. And that starts with asking the right question.What is the right question or questions? In part, it depends on the strategic business objective, and at least, initially, a series of open-ended questions. For example, a drink manufacturer looking to launch a new soft drink may ask what soft drink are customers most like ly to buy. They might then look at what the data tells them about their average customer and what makes them by, and/or what other soft drinks their average customer buys. But when you are aggregating data about everything from the typical consumer’s daily routine (from location-based social networks like Foursquare); to websites visited (through cookies); to responses to email marketing messages; to social media messages, the task can become daunting indeed. Data analysis must proceed from initial question to determination of relevant variables and datasets to hypothesis formulation and testing to conclusion.IT SystemsThere are many available IT systems on the market, and with the right IT personnel, homegrown or customized versions of out-of-the-box systems. There are also cloud-based and SaaS systems readily available for firms of every size: from the sole proprietor to the multinational corporation.At its root, whether it is stored in-house or outsourced, harnessing Big Data r equires hardware and software for data storage and management. Server and network administrators are needed to maintain the hardware; database administrators are needed to manage how data is stored in, and accessed from, the database; and data scientists are needed to analyze and interpret the data.PersonnelDo you have the expertise to manage Big Data in-house? Most firms don’t. Is it worth investing in the personnel/training and technology infrastructure to manage it in-house? This depends on a number of factors. This can be an expensive proposition in terms of initial set up (hiring, IT planning and deployments) and ongoing associated expenses. Nevertheless, this may be worth it if your firm’s near future and long-term strategic objectives depend on your ability to leverage Big Data. For example, a local bicycle retailer whose current marketing plans initiatives include events-based marketing and online interest communities targeting cyclists, and plans in the near-future to s hift its core business product offerings fitness-based wearable technology it is developing to cyclists, might want to invest in the personnel and IT infrastructure to ensure that all data is integrated and properly analyzed.This same bicycle firm could outsource the data warehousing, integration and analysis. However, there are several trade-offs to this approach. One, the firm, which is essentially becoming a technology firm, will lack, in-house, a key core competency needed to compete, as they have outsourced it. This may hinder their ability to, and the rapidity with which they can, make strategic decisions. In-house staff members, who understand the business from the frontlines, and from a data analysis perspective can develop actionable, innovative insights of a quality, and at a rate, that the outside firm, likely cannot match. Another trade-off is that you will only be as good as your data firm, and if you lack even the understanding to properly evaluate your data needs, you may very well pick a data management firm that is a poor fit.Privacy and securityPrivacy and security are key concerns. In the vast majority of countries, you are expected, by law, to reasonably protect the confidentiality and security of user data, and must immediately inform consumers if there has been a security breach. Further, you are liable for damages in full or in part to compensate your consumers for any harm they have suffered as a result of the breach.Another aspect of privacy involves the use of data. Many marketers have gotten a bad rap since the beginning of the Digital Age for using consumer information to create intrusive marketing messages (e.g. spam emails). You can undercut the efforts you put into managing Big Data if your usage turns off consumers. Governments have stepped in, and have in many countries enacted privacy laws that define what you can and cannot do with consumer data.Susan Etlinger: What do we do with all this big data? CASE STUDY OF BIG DATA USAG EOne of the most well-known users of Big Data is Wal-Mart. Indeed, Big Data is integral to Wal-Mart’s operation. The retailer uses real-time inventory information to rapidly replace its goods and services. It rids itself of excess inventory through a pricing strategy known as everyday Low pricing, which allows them to deeply discount it, in accordance with its real-time inventory. It is also able to leverage store-wide pricing data, inventory data, and financial forecasts to ensure that even it is not taking a net profit loss on a daily basis due to the discounts. It can do this by optimizing how much it purchases from a variety of suppliers, again, in real-time. For example, if a Wal-Mart store is overstocked with toothbrushes from a particular supplier, but running out of more expensive toothbrushes from another supplier, they might deeply discount the overstocked items and order more from the more expensive supplier. If this does not mitigate the loss on the first set of toothb rushes, Wal-Mart can review at a complementary good or an entirely different category where they can increase revenue by strategically ordering more inventory, and marking up or down the prices, to ensure profitability.Due to its popularity, supply vendors clamor to be stocked on Wal-Mart’s shelves. Because of this, Wal-Mart can influence how much it pays wholesalers for their goods.Wal-Mart has been leveraging Big Data since 1975 to aggregate and collect inventory and supply chain-related data. By 1989, they had reduced their distribution costs to less than half of Kmart’s costs and under a third of Sears’s costs, providing it with a considerable strategic advantage. Today, they are widely recognized for their profitability, low internal costs, low prices, and popularity.Intel Big Data 101: How Big Data Makes Big Impacts

Sunday, May 24, 2020

Stem Cell Research And Cures - 1703 Words

Name Professor Class Date Stem cell research and cures Stems cells are cells that have the ability to differentiate into specific ones. They divide through mitosis and can only be found in organisms that are multicellular. Mammals have two types off stem cells: embryonic stem cells which are obtained from the internal cell mass of blastocysts and adult stem cells which are located in different tissues. In adult organisms, progenitor cells and stem cells function as the repair system of the body which regenerates into fully grown tissues. Due to the ability of stems cells to regenerate and replenish other cells, they can be used in stem cell research and cure (Lim, 2006). There are three sources of adult cells in humans: bone marrow whereby extraction is done by drilling into the bone mainly the femur followed by harvesting of the bone marrow, adipose tissue where extraction is done by a process called liposuction. Lastly is blood can also provide stem cells and the extraction is done through apheresis where b lood is drawn from a donor and passed through a machine which extracts only the stem cells and returns other blood components to the donor (Marzilli, 2007). Stem cells can cure diseases because they possess two important features which the other cells of the body lack. In some cases regeneration happens after a long time when they are inactive state. When such cells are exposed to some certain experimental conditions, they can be induced to become organ-specificShow MoreRelatedStem Cell Research: The Final Cure Essay2028 Words   |  9 PagesStem Cell Research – The Final Cure What kind of research sparks a battle between religious-ethics, political, and scientific theories and beliefs? What makes you question right or wrong, moral or immoral, good or bad? The answer is stem cell research. So what is a stem cell? â€Å"Stem cells†¦ are in effect, a human self-repair kit.† (Christopher Reeve, activist Larry King, CNN) Stem cells are cells that exist in an undifferentiated state, and can transform into any of the 220 types of cells thatRead MoreStem Cell Research Should Be Used For Cure Diseases1065 Words   |  5 PagesWith all of the abortions that are happening around stem cells are just going to waste, Don’t you think they should be put to good use with helping cure illnesses that we face in everyday life? And this is the problem; stem cell research should be used to help cure diseases. Well there are many people that think using stem cell research will, and would requir e killing fertilized eggs that are removed from a person’s ovaries.Read MoreEssay Finding a Cure: Stem Cell Research1321 Words   |  6 PagesSince cancer is such an immense deal, and a lot of people are dying from it, then let’s find a cure for it (Dennis). Fortunately, for my dad we were able to find a cure. On July 3 2007, my father’s doctor came to our house at five o’clock in the morning, to give us the devastating news about my dad; he has multiple myeloma. This is a painful cancer, where the abnormal cells are over taking, the plasma cells, in the bone marrow. My parents walked into my room, woke my sister, and I up, and spoke toRead MoreStem Cell Research : The Medical Field For Future Studies And Cures Essay1580 Words   |  7 Pagesare made up of cells; without them, our bodies would not be able to thrive, let alone be created. Our bones, muscles, organs, tissues and skin are all composed of specialized cells that code for the type of cell they are assigned to be. Many body cells, for example, a liver cell, can reproduce many new cells; but the cells reproduced are only capable of being created as a liver cell. This example is a major reason why researchers are so interested in stem cell research. Stem cells are not specializedRead MoreFinding a Cure through Regenerative Medicine: Government-Funded Embryonic Stem Cell Research1582 Words   |  7 Pagesdeath.† In 2001 President George W. Bush banned the further funding of embryonic stem cell research. Why? Some feel that embryonic stem cell research encouraged abortion, and that by banning the federal funding for embryonic stem cell research it would lessen the rates of abortion. However, just recently President Barack Obama has reversed that law and thereby allowing federal funding for embryonic stem cell research. According to the CDC, Center of Disease Control, one in five-hundred people willRead MoreFor years, scientists have been using stem cells to help cure diseases and research different1000 Words   |  4 Pagesusing stem cells to help cure diseases and research different illnesses that come from deformed cells. In recent years, however, a debate has risen over where we should get these stem cells from. Because of the way stem cells are helping sick individuals and furthering research, the use of stem cells shouldn’t be stopped. The sources from which stem cells are acquired, however, should be limited. While acquiring adult stem cells is completely safe and productive, using embryonic stem cells is unethicalRead MoreThe Use Of Embryonic Stem Cells In Medicine1472 Words   |  6 PagesResearchers are constantly looking for ways to cure and treat all kinds of diseases, so why are there limits being put on the kinds of treatments that can be used to treat or cure a disease? Embr yonic Stem Cells can be used to treat many different diseases, but some people have their opinion that using these stem cells in medicine is unethical because they are coming from a human embryo. There are countries that have banned the use of embryonic stem cells in medicine, and in America there are peopleRead MoreThe Debate Over Stem Cell Research1601 Words   |  7 PagesThe stem cell controversy has been going on for many years. The two basic controversies surrounding stem cell research is whether or not it is morally justifiable, and if stem cells will ever live up to the medical promises. Most of these controversies concern embryonic stem cells more than any other stem cells. Embryonic stem cells are unspecialized, but have the ability to divide and make specialized cells like muscles, nerves, and skin cells. These cells are found in the early stage of human developmentRead MoreStem Cell Research Should Not Be Allowed1170 Words   |  5 Pagesoccurs. Currently, a cure does not exist for Batten Disease, and without surgery, Jaylen is expected to die before he is 16 years old. The hope of a cure for Jaylen comes through an experimental surgery with the use of stem cells. Many people think stem cell research should not be allowed, due to the fact that researchers mostly use stem cells from embryos. But, if an eight year old boy’s life can be extended or even saved through the stem cell surgery, the research using stem cells should continueRead MoreStem Cells And Its Effects On Society909 Words   |  4 PagesStem cells are  unspecialized  cell that can both reproduce itself indefinitely and, under  proper  conditions, differentiate into specialized cells of one or more types.  (Reece, Jane B., and Lisa A.  Urry, 2011.) The term â€Å"stem cells† were first seen in scientific literature in 1868, a German biologist Ernst Haeckel used this term to describe the fertilized egg that becomes an organism. On February 2, 1963 the firs piece of evidence of blood stem cells  seem, Ernest McCulloch and James Till conducted

Wednesday, May 13, 2020

Inter Team Conflicts And Interpersonal Conflicts - 1306 Words

When a group of people is brought together to form a team it is inevitable that some type of conflict will arise. Every member of a team has value and each one must understand that a team without conflict is necessary to accomplish the goal at hand (Mosley, 2005). There are multiple things that can lead to conflicts and leaders must recognize these to have an effective team. As a result of this, the leader must take into account everyone’s background and experience level as the team is formed. This paper will discuss the inter-team conflicts, interpersonal conflicts, why policies are created and ways a leader can prevent conflicts from happening. Inter-team Conflict Conflict in teams can have an adverse effect on a team’s performance. As a leader, it is imperative to manage conflict and handle matters before they become unmanageable. Assessing and managing inter-team conflicts before they arise is critical when stopping conflicts (Hoegl, Weinkauf Gemuenden, 2004). When conflict occurs, the trigger or event could be very minor and seem insignificant at the time. However, if the conflict is not resolved quickly, it could build up over time, creating a snowball effect. After this happens, it’s a matter of time before the conflict reaches a tipping point and emotions flare up. Conflict can result from a variety of events or situations. These could arise as a result of misinformation, a misunderstanding between team members, or a lack of clear and conciseShow MoreRelatedThere Is A Lot Of Misperceptions About Teams And Teamwork1018 Words   |  5 PagesThere is a lot of misperceptions about teams and teamwork and the behaviors associated with different leadership styles. Most teams encounter some dangers ranging from inter-team conflict to interpersonal policies. Most individuals become relationally involved and seek a balance as without losing a personal identity. Because teams are so relevant to the member’s status, respect and acceptance play a vital part in team development. Members often experience team discontinuity where people behave moreRead MoreOrganizational Conflict : An Emerging Lifestyle That Is Inevitable And A Common Sight1417 Words   |  6 PagesOrganisational conflict is an emerging lifestyle that is inevitable and a common sight attributable to the matrix structure adopted by many organisation as well as the present era of globalisation. Mary Parker Follett (1925) interprets conflict as a mere contradiction in interest and opinions between personnel inclusive of employees, employers and managers. However, Bisno (1988) and Coser (1968) elucidate conflict as â€Å"A process of social interaction involving a struggle over claims to resources,Read MoreTruly, In The United States Many Teams Building Company1042 Words   |  5 PagesUnited States many teams building company offer training to enhance work environment and performance. After, I reviewed many excellent team building businesses, I selected, The Corporate Teams. This company provides team building retreats and explorations to managers and teams. The Corporate Team’s purpose is to increase a higher level of job’s performance and leadership. The Corporate Teams combines a person’s mind, enthusiasm and skills, this way, employees grow trust and team commitment. In factRead MoreWhen Studying Organizational Management This Semester I Found Discussion On Organizational Conflict And Its Effect On An Organization921 Words   |  4 PagesI found the discussion on organizational conflict to be the most compelling. Our analysis not only gave me understanding on how d estructive team conflict is present in organizations, but also in any teamwork setting. Conflict is often a recurring problem for organizations, so it is vital for leaders to understand how to regulate it. Whether we were studying organizational change, devolvement, or leadership what was common to all was the presence of conflict and its effect on an organization. CompletingRead MoreOrganizational Behaviour2950 Words   |  12 Pagesscenario obviously can be seen during ramp up. There is sometimes in a year, necessity to increase the production output creates new environment and new requirement of job specifications. In some scenarios, the change in organization creates stress and conflicts. 4. Low trust ïÆ'Ëœ When people don’t believe that they or the company can competently manage the change there is likely to be resistance. The history of past changes that have brought negative result to the employees such as restructure of reportingRead MoreTeams and Team Processes: Group Dynamics Essay1267 Words   |  6 PagesAbstract Teams are often depicted as a group of people sharing leadership of and working together on a specific project, whereas a group (but not a team) consists of individuals who work independently and are led by a strong, focused individual (Erofeev, Glazer, Ivanitskaya, 2009). In the health care organization, it is important to have a group of people working together as a well a team. Each person individually need to fully understand what his or her role is in a group or team, if not thereRead MoreDescription And Description Of My Roommate Essay935 Words   |  4 Pagesfollowing day he came over to apologize and we have never heard from him again after that. The atmosphere around the place had remained much more positive and clean throughout the remainder of the semester. Part B: Analysis The outcome for this conflict was not the way we wished it had to be but it was for the best. Not only did the house stay clean but we all started helping each other out. We would look out for one another and didn’t have loud parties five nights a week anymore. With that beingRead MoreHow Personality Can Affect The Performance Of Teams1395 Words   |  6 Pagescan affect the performance of teams. This essay will also explore various theories relevant to personalities and will assess how different personalities can be beneficial in increasing team performance as well as any disadvantages. This essay will also explore how personality can affect the inter-personal relationship between team members. Personality can influence team performance in both a positive and negative way, Company X s understanding of personalities in teams will help them comprehend theRead MoreMulticultural Teams1342 Words   |  6 PagesOF MULTICULTURAL TEAMS The increasing number of multinational companies, the expand global market place and the diversity of the customers across cultures require new points of view. More and more companies use multicultural teams to develop new products or business solutions. Multicultural teams are task oriented groups of people from different cultures. Well managed multicultural teams thanks to the different point of views of their team members can superior national teams in the number of possibleRead MorePlanning Of A Project, Inc. ( Pcb ) Essay753 Words   |  4 Pagesand thorough. Work Breakdown Structure The work breakdown structure (WBS), even for the project of PCB, should allow for the leadership team to view an evaluate the the plan with ease. Objectives are organized under categories that allow for specific tasks to be broken into sub-tasks, processes, or other levels of detail, making it uncomplicated for team members to identify time and resources needed (CSU-Global, 2013). To ensure that no steps are missing, a WBS is outlined from the start of the

Wednesday, May 6, 2020

Emotion and Thu Interdependence Free Essays

Sociology: Marriages and Families Final Term Paper Due: April 28, 2011 THU Interdependence and Relationships Chapter Five When you look back at your relationships in the past and when you look at the way you were when you were in those relationships, were you the same? Or did you see yourself change? When someone is in a relationship, I believe, they become different than who they really are. Being in love has such a strong influence on the people, sometimes they get lost. I believe that the strength that an individual has, to not lose sight of himself or herself while in love, describes the interdependence of those partners. We will write a custom essay sample on Emotion and Thu Interdependence or any similar topic only for you Order Now Interdependence has a lot of connection with relationships. Therapist John Crosby (text pg 112), talks about the different styles of relationships and how the individuals’ interdependence connects with that style. He distinguished three different types of relationships. First, the A-frame relationship is described as a relationship where the partners have very little independence but a strong identity through the relationship. The individuals in this type of relationship have too much interdependence, and if one grows out the other one will end up falling. The second style is the H-frame relationship. This is when the partners have little or no interdependence. The partners in this type of relationship aren’t emotionally connected with each other and can stand by themselves. Lastly, the M-frame relationship. Crosby describes this relationship style as having the best interdependency. The partners both have individuality yet they bring that support and influence to the other partner. Lehmiller also talks about interdependence and relationships. His article Secret Romantic Relationships talked about his research on how secrecy of a relationship can be harmful and how that affects the interdependency of that individual. Lehmiller states that secrecy of a relationship shows the individual’s low self-esteem and it promotes health risks. I believe a secret relationship has the interdependency like the A-frame relationship that Crosby had talked about. The partners keep the relationship a secret however they can’t seem to let go of the relationship even though secrecy is a harmful health risk. I believe this happens because they rely on each other so much that they lose themselves individually so all they can do is keep that relationship. Another author, Adams, the author of Characteristics of closeness in adolescent romantic relationships, talks about his investigation and what he discovered was that interdependence was linked to the closeness of romantic relationships. He states that no matter what gender you are, the interdependency of an individual is linked to their relationships. Although these three authors talk about interdependence and how it connects with relationships, their views are slightly different as well. Lehmiller describes that interdependency has a lot to do with the certain situation that the partners are in, such as secrecy. Adams talks about how interdependence is influenced by age, the individuals’ social lives, and many more. Lastly, Crosby focuses on how the interdependency influences the different styles of relationships. After reading and comparing the articles, it made me think about how I am influenced and how much I influence my partner when in a relationship. Personally, I liked reading how secrecy of a relationship can be harmful because it was something new. I have never imagined myself having to hide a relationship yet still be together with that partner. It made me think about how relationships really affect people’s emotions and minds. I realized, after reading these articles, that I should be more independent and stronger for myself before I start having a relationship. I don’t want to see myself depending on a relationship and losing my identity. Love is so strong, that you can lose your individuality, yet people always want to be in love or be loved. How to cite Emotion and Thu Interdependence, Papers

Tuesday, May 5, 2020

Integration of Distributed Enterprise †Free Samples to Samples

Question: Discuss about the Integration of Distributed Enterprise. Answer: Introduction: The company AE Kalina Cycle (AKC) is the company whose main function is to produce the electricity from the waste heat. According to the case study, the main material required by the company for its production are the waste materials heat which is produces by burning them and also from the chemicals in the chemical industries. The software and hardware behind the company production are: The hardware is an inverter which is specially designed to convert the waste water which when mixed with the chemical ammonia, it generates the AC current. The software part of the company is a monitoring system whose function is to track the performance and efficiency of the inverter and other machines continuously. Therefore the inverter and the software control tools used by the enterprise have made itself one of the successful companies of the Australia, and with such reputation, it is a huge challenge for the company to protect its data from misuse. According to the case study, one of the other r easons for the success of the company is its enterprise system (ES) known as the enter AKC. The enter AKC software has enabled a stable and uninterrupted revenue model for the company. All the company transactional and the accounting records are held by the software enter AKC. Though all the records are kept by the software, it is still placing a significant burden on the administrative department of the system. The company which has developed the enterprise software for the company has been closed down. As the result the software is unable to update. It is now facing a huge challenge to adapt the customer need the company has developed which has lead to the workarounds, patches and extensions to keep using the software. The other asset of the company is the AKC Data Warehouse. The company in their initial days avoided the original customer data management and built its data warehouse which has served as the platform for the new services. The company has researched for over five yea rs in the field of domestic battery storage for the alternate energy which it has successfully launched in the year of 2016 in the name of the power AC which uses the application of the lithium battery technology, an another asset of the company. The company is unable to run its enterprise system as the result it is depending on the cloud technology especially the SaaS to support the human resource section of the enterprise. For the cloud purpose, the company is relying on the enterprise called workday a US based SaaS provider. The company is highly concerned about its data therefore for the role data backup, it has enrolled a small company in norwa which has taken the responsibility to provide the data backup service for the company. Analyzing System Threats Analyzing the assets of the company following threats can be imposed on the company using the technology Firstly the company is depending on the wastes of the chemical industries and the plastic materials to produce the electricity (Bi Da and Wang 2014). These wastes can be radioactive so it can be a threat for the company and the worker can get affected by these radioactive elements and can get the deadly disease like skin cancer. Therefore, the employees should work with great care to avoid any such diseases. Secondly according to the case study the company is successful in its field therefore its data are on high demand. It has been using the older enterprises system which cannot be updated as the company which has made that software has been closed down therefore another threat to the company is that if the company do not use a proper enterprise system its data can be hacked (Han et al. 2012) Thirdly the company has to comply with the relevant Australian standards in its all product and simultaneously keeping up with the innovation to remain at the top in the market so it is a possible threat that the company product may not match the possible standards for taking up the innovation. Fourthly the company is moving towards the cloud based application thus it is possible threat that the company data may be hacked if the cloud company do not have a strong firewall. According to the case study, the enterprise system of the company has been the problem of the company as the company who was making the software has been closed down. Now the company is looking for another option like cloud, VPN or data warehouse for its business purpose. The Rapid development in the company implies that there will be a detailed documentation the changes made in the system is dependent on the dedicated Database to keep the system operating. Enter AKC is slowly becoming a burden for its business transaction. The Accounts reconciliation officer who is responsible for the banking transaction has been exporting and converting data of the company on a regular basis, in the CSV format. To reconcile accounts and other transactions on its desktop but the busy schedule of the employee has demanded the employee to work from home on the laptop which is not possible. Moreover, it is also not possible to share the customer transaction records between entering AKC software and the data centre in real?time. Lastly, the main vulnerability is the cloud computing is the data breaching. The news of the data breaching has increased significantly around the world the data would be more vulnerable to the beach in the cloud applications. References Bi, Z., Da Xu, L. and Wang, C., 2014. Internet of things for enterprise systems of modern manufacturing.IEEE Transactions on industrial informatics,10(2), pp.1537-1546. Han, R., Guo, L., Ghanem, M.M. and Guo, Y., 2012, May. Lightweight resource scaling for cloud applications. InCluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on(pp. 644-651). IEEE. He, W. and Da Xu, L., 2014. Integration of distributed enterprise applications: A survey.IEEE Transactions on Industrial Informatics,10(1), pp.35-42. McDermott, C.M. and Prajogo, D.I., 2012. Service innovation and performance in SMEs.International Journal of Operations Production Management,32(2), pp.216-237. Zannetti, P. ed., 2013.Air pollution modeling: theories, computational methods and available software. Springer Science Business Media. Zissis, D. and Lekkas, D., 2012. Addressing cloud computing security issues.Future Generation computer systems,28(3), pp.583-592.